Hongluan Mao

27 total papers · 709 total citations
22 papers, 454 citations indexed

About

Hongluan Mao is a scholar working on Molecular Biology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Hongluan Mao has authored 22 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Obstetrics and Gynecology. Recurrent topics in Hongluan Mao's work include Uterine Myomas and Treatments (4 papers), Endometrial and Cervical Cancer Treatments (4 papers) and MicroRNA in disease regulation (4 papers). Hongluan Mao is often cited by papers focused on Uterine Myomas and Treatments (4 papers), Endometrial and Cervical Cancer Treatments (4 papers) and MicroRNA in disease regulation (4 papers). Hongluan Mao collaborates with scholars based in China. Hongluan Mao's co-authors include Peishu Liu, Yingxin Pang, Jing Xue, Liang Shen, Xinrui Zhao, Xuan Wei, Rui Li, Yu Wang, Ruihan Liu and Zhe Zhao and has published in prestigious journals such as Frontiers in Oncology, Journal of Translational Medicine and Frontiers in Genetics.

In The Last Decade

Hongluan Mao

22 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hongluan Mao 234 161 129 93 79 22 454
Bangxing Huang 206 0.9× 146 0.9× 170 1.3× 67 0.7× 85 1.1× 23 459
Monica Mannelqvist 265 1.1× 164 1.0× 182 1.4× 77 0.8× 131 1.7× 15 541
Liping Han 267 1.1× 219 1.4× 100 0.8× 62 0.7× 70 0.9× 30 536
Valentina Iacobelli 167 0.7× 83 0.5× 162 1.3× 80 0.9× 78 1.0× 22 466
Chengjuan Jin 214 0.9× 115 0.7× 81 0.6× 68 0.7× 32 0.4× 22 422
Chenggong Sun 219 0.9× 161 1.0× 100 0.8× 78 0.8× 49 0.6× 18 420
Qidan Huang 151 0.6× 85 0.5× 118 0.9× 132 1.4× 128 1.6× 24 427
Weiya Z. Wysham 220 0.9× 137 0.9× 132 1.0× 75 0.8× 76 1.0× 22 460
Huiyu Zhuang 235 1.0× 130 0.8× 75 0.6× 145 1.6× 58 0.7× 21 435
Giulia Scotto 174 0.7× 99 0.6× 236 1.8× 81 0.9× 48 0.6× 19 451

Countries citing papers authored by Hongluan Mao

Since Specialization
Citations

This map shows the geographic impact of Hongluan Mao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hongluan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongluan Mao more than expected).

Fields of papers citing papers by Hongluan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hongluan Mao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hongluan Mao. The network helps show where Hongluan Mao may publish in the future.

Co-authorship network of co-authors of Hongluan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongluan Mao. A scholar is included among the top collaborators of Hongluan Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongluan Mao. Hongluan Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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